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KDDNuggets has completed its annual poll of top languages for analytics, data mining and data science, and just as in the prior two years the R language is ranked the most popular. R is used by almost 61% of respondents:

An engineer, a mathematician, a physicist a computer scientist and an economist walk into a restaurant and order dinner. Then the check comes.

Exegetic Analytics extols the wonders of foreach package for iterative operations that go beyond the standard "for" loop in R. For example, here's a neat (if not optimally efficient) construct using filters to calculate the primes less than 100:

By Revolution Analytics senior program manager James Peruvankal

Big Data is driving
immediate changes in the insurance industry that will have long term effects
well beyond its industry impact. Reacting to pressure from competitors and
shareholders, insurance companies around the world are working to improve their
analytical capabilities to deliver innovative and personalized products to both
acquire new customers while ensuring the profitability of all their customers
remains high.

I have no idea who created this (Google Image Search just yields a bunch of unattributed Tumblrs) but it's cool:

By my eye, it looks like each dot travels along each diameter on a sinusoidal projection, and I guess it wouldn't be hard to prove that by offsetting each wave by 45 degrees you'd end up with a circle. Still, I'm not going to try, and instead just enjoy the animation. Woo.

That's all for this week — have a great weekend!

This coming Tuesday, August 27, our US Chief Scientist Mario Inchosa will reveal some details of the forthcoming in-Hadoop predictive analytics capabilities of Revolution R Enterprise 7, due for release later this year. Here's the abtract of his webinar, High Performance Predictive Analytics in R and Hadoop: